Skip to content
USAID: From The American People TB-DIAH: Tuberculosis Data, Impact Assessment and Communications Hub
  • Knowledge Hub
  • Data Hub
  • Home
  • About
    • Project Overview & Objectives
    • TB DIAH Team
  • Countries
    • Afghanistan
    • Bangladesh
    • Burma
    • Cambodia
    • DRC
    • Ethiopia
    • India
    • Indonesia
    • Kenya
    • Kyrgyz Republic
    • Malawi
    • Mozambique
    • Nigeria
    • Pakistan
    • Philippines
    • South Africa
    • Tajikistan
    • Tanzania
    • Uganda
    • Ukraine
    • Uzbekistan
    • Vietnam
    • Zambia
    • Zimbabwe
  • Tools
    • ARCAssessment of Data Collection, Reporting & Analysis Capacity
    • D2ACData-to-Action Continuum Toolkit
    • MESSAM&E and Surveillance Systems Assessment
    • PBMEFPerformance-Based M&E Framework
    • QTSAQuality of Tuberculosis Services Assessment
    • STEPSurveillance and TB M&E Strengthening Plan
  • Resources
    • Capacity Strengthening
    • Center of Excellence
    • e-Learning Courses
    • NTP Website Activity
    • Resource Library
  • News
    • TB DIAH Digest
    • Social Media
    • 2023 Union Conference
    • Webinars

Resource Tag: Diagnosis

The role of technical assistance in expanding access to Xpert® MTB/RIF: experience in sub-Saharan Africa

The role of technical assistance in expanding access to Xpert® MTB/RIF: experience in sub-Saharan Africa
Author(s): Public Health Action
Year: 2016
Filed under: Diagnosis, Journal Article, Research, Sub-Saharan Africa, Treatment, Xpert
Continue Reading

The ‘Practical Approach to Lung Health’ in sub-Saharan Africa: a systematic review

The ‘Practical Approach to Lung Health’ in sub-Saharan Africa: a systematic review
Author(s): The International Journal of Tuberculosis and Lung Disease
Year: 2016
Filed under: Diagnosis, Journal Article, Malawi, Research, Review, South Africa, Sub-Saharan Africa, Tuberculosis
Continue Reading

Current use and acceptability of novel diagnostic tests for active tuberculosis: a worldwide survey

Current use and acceptability of novel diagnostic tests for active tuberculosis: a worldwide survey
Author(s): Jornal Brasileiro de Pneumologia
Year: 2017
Filed under: Diagnosis, Diagnostics, Journal Article, Rapid tests, Research, Survey
Continue Reading

Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review

Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review
Author(s): Tuberculosis
Year: 2018
Filed under: Case detection, Diagnosis, Diagnostics, Journal Article, Research, Technology, Tuberculosis
Continue Reading

Constructing care cascades for active tuberculosis: A strategy for program monitoring and identifying gaps in quality of care

Constructing care cascades for active tuberculosis: A strategy for program monitoring and identifying gaps in quality of care
Author(s): PLOS Medicine
Year: 2019
Filed under: Active case finding, Cascade of care, Diagnosis, Journal Article, Monitoring, Quality of care, Research
Continue Reading

Against All Odds: Diagnosing Tuberculosis in South Africa

Against All Odds: Diagnosing Tuberculosis in South Africa
Author(s): The Journal of Infectious Diseases
Year: 2011
Filed under: Diagnosis, Journal Article, Mortality, Research, South Africa
Continue Reading

The economic burden of TB diagnosis and treatment in South Africa

The economic burden of TB diagnosis and treatment in South Africa
Author(s): Social Science & Medicine
Year: 2015
Filed under: Costs, Diagnosis, Journal Article, Research, South Africa, Treatment, UHC
Continue Reading

Posts navigation

Newer Posts
  • Knowledge Hub
  • Data Hub
TB DIAH Project
University of North Carolina
123 West Franklin Street, Suite 330
Chapel Hill, North Carolina 27516 USA
About
Countries
Topics
Resource Library
News
TB DIAH Digest
Special Features
Assessments
TB Data Hub
Objectives

The TB DIAH project is part of USAID's performance-based measures to end TB—the Global Accelerator to End Tuberculosis. This TB DIAH website features a data hub, guidance, and tools to support the work of the global TB community. TB DIAH makes possible optimal analysis and use of TB data to inform national TB programs, policies, and USAID-supported interventions.

This information was produced with the support of the United States Agency for International Development (USAID) under the terms of the TB Data, Impact Assessment and Communications Hub (TB DIAH) Associate Award No. 7200AA18LA00007. TB DIAH is implemented by the University of North Carolina at Chapel Hill, in partnership with John Snow, Inc. Views expressed are not necessarily those of USAID or the United States government.